AI Workforce

Artificial engineers for the physical economy.

GYRATE is developing an AI engineering workforce capable of designing, simulating, optimizing, validating, and bringing complex physical systems from requirements to production.

Not a chatbot that answers questions. A team of specialist artificial engineers that executes engineering work, supervised by human experts who own every consequential decision.

Built for

Hardware startups, engineering teams and industrial companies that want build-ready designs without hiring a hundred specialists.

The ambition

To let a ten-person team engineer like a thousand-person company: requirements in, build-ready design out, with human experts approving every critical decision.

Work With the AI WorkforceMeet the Engineers
Execution, not answers

A customer can say: we need a 48 V integrated actuator for a humanoid knee, under 3 kg, with 120 Nm peak torque. GYRATE decomposes that mission across specialist artificial engineers, and customers interact primarily with GYRATE Engineer, the single front door. Behind it, the right engineers are dispatched automatically.

Requirement → Design → Simulate → Source → Plan → Manufacture → Inspect → Test → Learn
The artificial engineers

Fifteen specialists, one engineering team.

Chief Engineer / Systems Architect

Requirements, architecture, interfaces, trade studies, subsystem decomposition, technical decisions, risks, approvals, and coordination of every other engineer.

Electromagnetic Engineer

Motors, generators and electromagnetic actuators: topology, slots and poles, winding, magnets, flux, torque, losses, efficiency, and electromagnetic simulation.

Mechanical Engineer

Shafts, bearings, gears, rotor structure, housings, sealing, fits, tolerances, stress, fatigue, vibration, packaging, and structural simulation.

Thermal Engineer

Heat generation, thermal networks, cooling systems, winding, magnet and bearing temperatures, heat sinks, liquid, air and oil cooling, thermal FEA and CFD.

Power Electronics Engineer

Inverters, MOSFET, IGBT, SiC and GaN devices, DC link, gate drives, sensing, switching, losses, protection, EMI/EMC, and power-stage design.

Controls Engineer

Field-oriented control, torque, velocity and position loops, observers, state estimation, control stability, calibration, SIL/HIL, and controller generation.

Electronics & Embedded Engineer

Microcontrollers, PCB requirements, communications, sensors, firmware, diagnostics, CAN and EtherCAT, telemetry, and embedded architecture.

Simulation & Optimization Engineer

Structural FEA, thermal FEA, CFD, electromagnetic simulation, system simulation, parameter sweeps, design of experiments, and multiphysics optimization.

Manufacturing Engineer

Manufacturing processes, tooling, fixtures, machining, winding, assembly, process plans, automation, DFM and DFA, and production-line design.

Materials Engineer

Steel, copper, magnets, aluminium, insulation, polymers, adhesives, bearings, coatings, composites, material trade-offs, and substitutions.

Supply Chain & Cost Engineer

BOMs, suppliers, RFQs, lead times, second sourcing, make-versus-buy, should-cost, availability, geopolitical risk, and redesign to cost.

Test & Validation Engineer

Dynamometer tests, thermal tests, efficiency maps, vibration, shock, endurance, environmental testing, qualification, and simulation-to-test correlation.

Reliability & Failure Engineer

Failure modes and effects, fault trees, bearing life, fatigue, insulation life, thermal ageing, root-cause analysis, and field failures.

Quality Engineer

Inspection, critical-to-quality characteristics, SPC, capability, metrology, non-conformance, control plans, end-of-line quality, and traceability.

Industrialization / Program Engineer

Prototype builds, engineering gates, supplier readiness, manufacturing readiness, build schedules, and production ramp.

One shared engineering state

They all work from the same machine state.

GYRATE knows what the product must do, where every engineering number came from, which revision produced it, which assumptions exist, which simulations have actually run, which tests have actually happened, and what is now stale.

A requirement changes: continuous torque 60 Nm → 80 Nm. The consequence ripples through motor → current → losses → winding temperature → inverter sizing → shaft loading → bearings → gearbox → cooling → structural analysis → manufacturing → cost → validation.

GYRATE does not simply edit 60 into 80. It manages the engineering consequence.

What comes out

More than a report: the industrial state of the product.

Engineering

Requirements specification, system architecture, candidate concepts, electromagnetic, mechanical and thermal design, electronics and controls architecture, drawings, tolerances, and simulation reports.

Manufacturing

Engineering and manufacturing bills of materials, process routing, work instructions, fixtures and tooling, CAM programs, winding recipes, assembly sequences, and inspection plans.

Supply chain

Supplier options, should-cost estimates, lead-time estimates, risk scores, RFQs, sourcing recommendations, and alternate-material proposals.

Validation

Verification plans, test procedures, automated test scripts, qualification plans, reliability analysis, and complete traceability.

The work does not end when a PDF is produced. It ends when the product has been built, measured and proven.

Connected to existing engineering software

GYRATE is the intelligence layer above the engineering stack.

CADSiemens NX, SolidWorks, CATIA, Creo, Fusion, FreeCADStructural / mechanical CAEANSYS Mechanical, Abaqus, Nastran, CalculiXElectromagneticsANSYS Maxwell, Motor-CAD, JMAG, Altair Flux, FEMMThermal / fluidsANSYS Fluent, STAR-CCM+, Simcenter, OpenFOAMControlsMATLAB, Simulink, Simscape, ModelicaElectronicsAltium, KiCad, CadencePower electronicsPLECS, PSIM, LTspice, MATLAB/SimulinkPLM / requirementsTeamcenter, Windchill, 3DEXPERIENCE, Jama, DOORS

The artificial engineers operate professional tools where appropriate instead of rebuilding every engineering tool from scratch.

Human experts in the loop

Maximum autonomy, not zero humans.

Humans define intent, exercise judgment, approve consequential decisions, solve novel problems and teach the system. Artificial engineers perform the volume of computation, documentation, optimization and coordination. Every correction an expert makes teaches the system.

Autonomous

Routine simulation, documentation, scheduling, machine monitoring, low-risk purchasing within policy, routine inspection and logistics. The AI acts on its own.

Supervised

Engineering changes, supplier substitution, process changes, new tooling, tolerance changes. The AI acts and an expert reviews.

Human authority

Safety-critical release, qualification sign-off, novel materials and processes, major architecture, regulatory submissions. A human approves, always.

Connected to the factory

Reality teaches the artificial engineers.

Predicted winding temperature meets measured winding temperature. Every test, every defect and every production cycle becomes ground truth that improves the next design.

Intelligence → Engineering → Manufacturing → Physical systems → Data → Better intelligence

Give engineers leverage over the entire product lifecycle.

Tell us what machine you are building and we will show you how the AI Workforce would take it from requirement to production.

Work With the AI Workforce